The Infoone Project is a platform that crosses epidemiological data along with environmental, climates and localization, information. Through this analysis, we can demonstrate more comprehensive evidence of results, doing an outstanding integration.
The team was inspired to choose this challenge on behalf of the information about the coronavirus being highly decentralized nowadays and this factor excited Etê Brazil to build this project and develop it. Nasa and Esa data related to demographic density, climates changes, and relative air humidity which were used to identify higher areas' proliferation disease chances. The programming languages were Python, Node.JS, libraries like Andas, SKLearn, Keras, and Tensorflow. The development tools used were Vscode, Herokuc cloud, Oracle cloud, Tableau, and Google colab.
The problems viewed by the team were the idealization’s conflicts of the idea. We were guided by two mentors to change our vision and we did the exchange in the design.
Link to the project's pitch: https://youtu.be/ImCH-eQccgQ
demographic density - NASA
relative air humidity - NASA and ESA
covid infection rate - public data
hospital bed status - public data
Geographic Information System (GIS) data
climate and weather in the region - Meteomatics